[leftmargin=*,nosep]
Mean squared error (MSE) measures the average pixel-wise (squared) distance between the reconstructed image and the ground truth image. Lower is better.

Peak signal-to-noise ratio (PSNR) measures the ratio between the maximum image pixel value and MSE. Higher is better.

Learned perceptual image patch similarity (LPIPS) measures distance in the features space of a VGG [1]} model trained on ImageNet. Lower is better.

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